Absolute Max and Min on an Interval Total Running Time: 10:38 graphic interpretation, solve with calculus

Antidifferentiation – Indefinite Integral Total Running Time: 18:46 antiderivative, exponential and logarithmic functions, negative and rational exponents

Applications of Linear Functions Total Running Time: 21:56 average cost, cost, linear depreciation, market equilibrium, profit, Revenue, supply and demand

Applications of Quadratic Functions Total Running Time: 14:18 break even analysis, graphing, market equilibrium, profit functions, revenue functions, supply and demand functions

Applications of the First Derivative Total Running Time: 22:12 increasing and decreasing graphical, relative extrema, relative minimum and maximum

Area Between Curves Total Running Time: 17:51 average value over an interval, endpoints of integration, graphic understanding

Basic Matrix Operations Total Running Time: 12:41 adding and subtracting matrices, dimension of a matrix, entries of a matrix, identifying entries, scalar multiplication, special matrices

Baye’s Rule Total Running Time: 34:16 calculate, interpret, multiplicative rule, probability, tree diagram

Binomial Distribution Total Running Time: 04:31 Binomial Distribution, Binomial Probability, Binomial Table, Mean Deviation, standard deviation

Commonly Used Confidence Intervals Total Running Time: 15:36 Common Confidence Levels, Confidence Intervals, One Sided Confidence Intervals, Two Sided Confidence Intervals

Comparing Two Population Means PT1 Total Running Time: 11:41 confidence interval, Hypothesis Testing, Independent Sampling, Population Mean, Z-Statistic

Comparing Two Population Means PT2 Total Running Time: 09:26 confidence interval, Hypothesis Testing, Independent Sampling, Population Mean, Z-Statistic

Comparing Two Population Proportions PT1 Total Running Time: 11:11 Confidence Intervals, Hypothesis Testing, Population Proportion, Tests of Significance, Z-Statistic

Comparing Two Population Proportions PT2 Total Running Time: 10:14 Confidence Intervals, Hypothesis Testing, Population Proportion, Tests of Significance, Z-Statistic

Conditional Probability and Independent Events Total Running Time: 05:19 conditional probability, Conditional Probability Formula, independent events, probability

Confidence Intervals for Proportions Total Running Time: 19:50 assumptions and conditions, certainty versus precision, choosing sample size, margin of error

Confidence Intervals for the Mean (t-Statistic) Total Running Time: 12:01 confidence interval, Inferential Methods, Population Mean, T-statistic, Target Parameters, Validity Assumptions

Confidence Intervals for the Mean (z-Statistic) PT1 Total Running Time: 13:35 confidence interval, Interval Estimator, Point Estimator, Population Mean, Z-Statistic

Confidence Intervals for the Mean (z-Statistic) PT2 Total Running Time: 14:16 confidence interval, Interval Estimator, Point Estimator, Population Mean, Z-Statistic

Confidence Intervals for the Population Proportion Total Running Time: 14:11 categorical variables, confidence interval, Population Proportion, Probability Calculations, Z-Statistic

Correlation and Linear Regression Total Running Time: 27:04 conditions and properties of correlation, correlation tables, f test, lurking variables and causation, r squared, residuals, scatterplots, variation

Data Total Running Time: 08:38 categorical variables, Nominal Variables, Quantitative Variables, W's of data

Differentiation Techniques – Easy Way Total Running Time: 22:54 derivatives of constants, negative exponents, power rule, rational exponents

Differentiation Using Difference Quotient Total Running Time: 21:13 derivative definition, finding derivative, finding equations of tangent lines, slope of tangent line

Displaying and Describing Categorical Data Total Running Time: 15:04 Bar Charts, Categorical Data, conditional distribution, Contingency Table, Frequency Table, independent variables, marginal distribution, Pie Charts

Displaying and Describing Quantitative Data Total Running Time: 25:19 boxplots, center, comparing standard deviation, five number summary, identifying outliers, interpreting skewness statistic, mean, median, mode, reading histogram, shape, spread of distribution, standardizing, variance, z score

Displaying Describing Quantitative Data PT1 Total Running Time: 06:21 histogram, outliers, Shape of Distribution, skewed, symmetric

Displaying Describing Quantitative Data PT2 Total Running Time: 24:36 5 Number Summary, mean, median, mode, outliers, range, standard deviation, Standardized Value, z score

Expected Value Total Running Time: 13:22 Discrete Random Variables, expected value, random variables, standard deviation

Exponential Functions and Application of Exponential Functions Total Running Time: 16:33 Euler's number, graphing

Exponents and Radicals Total Running Time: 16:14 properties of exponents, radicals and rational exponents

Finding Domain and Range Total Running Time: 16:47 algebraic approach, graphical approach, interval notation

First Degree Equations Total Running Time: 21:29 solving linear equations, solving rational equations

Five-Number Summary and Boxplots Total Running Time: 13:26 boxplots, five number summary, interquartile range, IRQ, ordered data set, quartiles

Future Value of Ordinary Annuities Total Running Time: 21:54 calculating interest, ordinary annuity, solving for r, solving for s, the formula

Graphical Methods of Describing Data Total Running Time: 18:36 bimodal, charts, distributions, graphs, outliers, skewed, symmetric

Graphs Total Running Time: 22:06 finding real solutions to polynomials, linear equations in standard form, polynomial and rational equations, reading graphs

Joint and Conditional Probability Total Running Time: 21:29 contignecy, dependent, event, frequencies, independent, table, unconditional, variable

Limits: A Numerical and Graphical Approach Total Running Time: 11:19 Limits from the Left and Right, Value of a Function

Linear Inequalities Total Running Time: 17:55 absolute value, dividing by a negative, graph, interval notation, solve

Linear Regression Total Running Time: 16:09 Explanatory Variable, residuals, Response Variable, standardized residuals

Loan Amortization and Present Value of Ordinary Annuities Total Running Time: 17:17 calculating interest, solving for P, solving for r

Logarithmic Functions Total Running Time: 15:19 natural logarithm, properties of Log's, simplifying Log's

Looking at Relationships and Scatterplots Total Running Time: 07:23 Bivariate Data, Dependent Variable, Explanatory Variable, Predictor Variable, Response Variable, Scatter Plot

Margin of Error and Sample Size Total Running Time: 14:29 confidence interval, Confidence Level, critical values

Matrix Products Identities and Inverses Total Running Time: 17:50 additive identities, additive inverses, dimensions of matrix multiplication, multiplicative identities, multiplicative inverses

Max and Min Business Applications Total Running Time: 10:16 cost, linear profit, maximum profit, Revenue, revenue function

Measures of Relative Standing Total Running Time: 07:25 percentiles, raw data, relative standing, z-scores

Multiple Regression Total Running Time: 31:32 assumptions, coefficient, estimation, extrapolation pitfall, linear regression model, model, multicollinearity, prediction, significance, test

Multiple Regression Total Running Time: 16:37 adjusted r squared, assumptions and conditions, f statistic, interpreting coefficients

Multiple Regression Total Running Time: 12:32 Multiple Regression, multiple regression coefficient, multiple regression model

Multiple Regression Practice Total Running Time: 37:02 assumptions, coefficient, estimation, extrapolation pitfall, linear regression model, model, multicollinearity, prediction, significance, test

Mutually Exclusive Events and the Additive Rule Total Running Time: 04:39 Additive Rule, Mutually Exclusive Events, probability

Nonlinear Functions and Models Total Running Time: 20:03 market equilibrium, parabolas, quadratic equations, quadratic formula, radicals, rational exponents, vertex, x intercepts, y intercepts

Normal Approximation of a Binomial Distribution Total Running Time: 06:12 Binomial Distribution, Continuous Distribution, Discrete Distribution, Normal Approximation

Normal Distribution Total Running Time: 08:49 Bell-Shaped, mean, normal distribution, Normal Table, standard deviation, Symmetrical

Numerical Measures of Central Tendency Total Running Time: 06:57 mean, median, mode, Numerical Measures, Skewness

Polynomials Total Running Time: 17:14 add and subtract, binomial, cost, descending order, monomial, profit, Revenue, trinomial

Probability-Events and Sample Spaces Total Running Time: 09:48 classical probability, compound event, empirical probability, experiment, probability experiment, sample point, sample space, simple event

Quadratic Functions Total Running Time: 22:26 axis of symmetry, graph of parabola, graphing, intercepts, max and min vertex

Rational Expressions Total Running Time: 14:10 divide expressions, multiply expressions, simplify expressions in lowest terms

Rational Expressions Total Running Time: 14:10 divide expressions, multiply expressions, simplify expressions in lowest terms

Rational Functions Total Running Time: 15:11 f infinity, graphing, horizontal and vertical asymptotes, understanding asymptotes

Real Numbers Total Running Time: 16:50 absolute value, graphing inequalities on number line, interval notation, order of operations

Review of Inference Confidence Intervals Total Running Time: 28:25 interval, known, margin of error, population, proportions, sample size, unknown

Review of Inference Hypothesis Tests Total Running Time: 30:06 alternative, error, known, mean, null, parameter, population, proportion, significant, unknown

Review of Probability Rules and Definitions Total Running Time: 21:36 compound event, event, joint, random experiment, rule, sample space

Review of Simple Regression Total Running Time: 27:40 calculate, coefficient of determination, estimate, interpret, linear regression model, model assumption, predict, residuals, sample correlation coefficient, slope, standard deviation

Sample Size Determination Total Running Time: 15:09 margin of error, Population Mean, Population Proportion, sample size

Sampling Distribution Total Running Time: 22:29 assumptions and conditions, central limit theorem, distribution of sample proportions, effect of sample size, sampling distribution of the mean

Sampling Distribution of Mean Total Running Time: 12:32 central limit theorem, Sampling Distribution, sampling distribution of the mean, Variance of the Sampling Distribution of the Mean

Sampling Distribution of the Mean Total Running Time: 06:11 central limit theorem, Sampling Distribution, sampling distribution of the mean, Variance of the Sampling Distribution of the Mean

Simple Regression Practice Total Running Time: 23:28 coefficient of determination, correlation coefficient, estimation, linear regression model, model assumptions, prediction, standard deviation of the residuals

Slope and Linear Functions Total Running Time: 17:09 finding equations of lines, vertical and horizontal lines

Solving Exponential Equations Total Running Time: 20:05 cannot make bases the same, solving with e, solving with same base

Surveys & Sampling Total Running Time: 18:58 Bias, parameter, population, randomization, sample, Statistic, valid survey

Test of Significance Introduction Total Running Time: 16:52 alternative hypothesis, Inferential Methods, null hypothesis, Population Parameter, Statistical Hypothesis Testing

Testing Hypotheses Total Running Time: 22:52 alpha levels and significance, alternative hypothesis, critical values, null hypothesis, p values, type one and two error

Testing Hypothesis About Proportions PT1 Total Running Time: 14:17 alternative hypothesis, null hypothesis, One Tail Test, two tailed test, Type I Error, Type II Error

Testing Hypothesis About Proportions PT2 Total Running Time: 15:51 Alpha, Alternate Hypothesis, critical values, Fail to Reject, Key Values, null hypothesis, Reject

Tests of Significance for the Population Mean (t-Statistic) Total Running Time: 14:13 Confidence Interval Approach, Hypothesis Testing, T-statistic, Test of Significance, Validity Assumptions

Tests of Significance for the Population Mean (z-Statistic) PT1 Total Running Time: 17:24 Confidence Interval Approach, Hypothesis Testing, Population Mean, Z-Statistic

Tests of Significance for the Population Mean (z-Statistic) PT2 Total Running Time: 16:01 Confidence Interval Approach, Hypothesis Testing, Population Mean, Z-Statistic

Tests of Significance for the Population Proportion (z-Statistic) PT1 Total Running Time: 10:56 Confidence Interval Approach, Hypothesis Testing, Population Proportion, Z-Statistic

Tests of Significance for the Population Proportion (z-Statistic) PT2 Total Running Time: 10:39 Confidence Interval Approach, Hypothesis Testing, Population Proportion, Z-Statistic

The Empirical Rule Total Running Time: 02:55 empirical rule, Frequency of Observations, Mound Shaped, Normal Data

The Multiplication Rule Total Running Time: 07:00 dependant events, independent events, multiplication rule

Two Sample Design: Comparing Two Means and Two Proportions Total Running Time: 26:34 confidence interval, hypothesis test, independent samples, population means, population proportions

Types of Data Total Running Time: 02:58 categorical, data, Different Types of Data, Numerical, qualitative, quantitative

Types of Random Variables Total Running Time: 09:06 continuous random variable, discrete random variable, expected value, probability distribution, standard deviation

Understanding Residuals Total Running Time: 10:48 examining residuals for groups, extrapolation and prediction, summary values, unusual and extraordinary observations

Understanding Residuals Total Running Time: 08:36 high-leverage point, large residuals, residuals, residuals for groups

Unions, Intersections, Complementary Events Total Running Time: 04:54 Complementary Events, Intersections, Outcomes, probabilities, sample space, Unions